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Ross Maciejewsk
This course will expose learners to additional tools that can be used to perform Data Visualization. In particular, the courses focuses on Tableau, a state-of-the-art visualization package. In this course, the visualization concepts from previous courses are reinforced and the Tableau software is introduced through replication of the visualizations built in previous courses.
Register for this course and see more details by visiting:
OpenCourser.com/course/w1emw3/additional
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Develops intermediate-level skills in creating advanced visual data representations using Tableau software
Reinforces data visualization principles and best practices
Leverages up-to-date industry software Tableau, which is widely used for data visualization and analytics
Involves hands-on replication of visualizations built in previous courses
Supplemental learning resource for students who want to strengthen their data visualization skills
Suitable for learners with an existing foundation in data visualization concepts
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Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Additional Tools Used for Data Visualization with these
activities:
Tableau Tutorial Series
Show steps
Provides you with a structured learning experience and helps you build a strong foundation in Tableau.
Browse courses on
Tableau
Show steps
-
Find a reputable online tutorial series (e.g. on Coursera, Udemy, or YouTube).
-
Follow the tutorials step-by-step.
-
Practice the concepts covered in the tutorials.
-
Complete the quizzes and assignments provided in the tutorials.
-
Ask questions and seek help from the community or the instructor.
Tableau hands-on Lab 1
Show steps
Refreshes your knowledge of Tableau and helps you build a solid foundation for the course.
Browse courses on
Tableau
Show steps
-
Install the latest version of Tableau.
-
Connect to the Sample Superstore dataset.
-
Create a simple bar chart.
-
Add additional visualizations to your dashboard.
-
Share your dashboard with others.
Review Basic Data Types
Show steps
Builds a strong foundation for upcoming lessons by refreshing your understanding of data types.
Browse courses on
Data Types
Show steps
-
Revisit documentation and tutorials on data types for the programming language(s) used in this course.
-
Do exercises or practice problems to test your understanding of data types.
Six other activities
Expand to see all activities and additional details
Show all nine activities
Tableau Study Group
Show steps
Provides you with opportunities to collaborate and learn from peers, enhancing your understanding of Tableau.
Browse courses on
Tableau
Show steps
-
Find a study partner or group.
-
Set regular meeting times.
-
Discuss the course material and work through problems together.
-
Share tips and resources.
-
Provide feedback and support to each other.
Tableau Challenge 1
Show steps
Reinforce your understanding of Tableau and test your skills in data manipulation and visualization.
Browse courses on
Tableau
Show steps
-
Download the provided dataset.
-
Clean and prepare the data.
-
Create a variety of visualizations (e.g. bar chart, line chart, scatter plot, map).
-
Identify trends and patterns in the data.
-
Write a short report summarizing your findings.
Tableau Practice Exercises
Show steps
Improves proficiency in using Tableau by completing guided exercises and challenges.
Browse courses on
Tableau
Show steps
-
Find online tutorials or resources that provide Tableau practice exercises.
-
Complete the exercises, following the instructions provided.
-
Review your results and identify areas for improvement.
Create a Personal Dashboard
Show steps
Applies the concepts learned in this course by creating a fully-functional dashboard.
Browse courses on
Dashboard Design
Show steps
-
Identify a dataset that interests you and gather the data.
-
Choose a visualization software or library (e.g., Tableau, Google Data Studio) and learn its basic functionalities.
-
Design the layout of your dashboard, including the types of visualizations to use.
-
Create the visualizations and connect them to the data.
-
Refine the dashboard based on feedback or your own analysis.
Tableau Data Challenge
Show steps
Challenges you to apply your Tableau skills to solve real-world problems and compete with others.
Browse courses on
Tableau
Show steps
-
Find a Tableau data challenge (e.g. on Kaggle, Analytics Vidhya, or the Tableau Community).
-
Download the dataset and familiarize yourself with the problem statement.
-
Analyze the data and identify key insights.
-
Design and create a series of visualizations to communicate your findings.
-
Submit your solution to the challenge.
Tableau Case Study
Show steps
Develops your skills in data analysis, visualization, and communication by creating a comprehensive case study using Tableau.
Browse courses on
Tableau
Show steps
-
Choose a dataset of your interest.
-
Explore and analyze the data to identify key insights.
-
Design and create a series of visualizations to effectively communicate your findings.
-
Write a report or presentation to summarize your case study.
-
Share your case study with others (e.g. on social media, a blog, or a portfolio).
Tableau Tutorial Series
Show steps
Provides you with a structured learning experience and helps you build a strong foundation in Tableau.
Browse courses on
Tableau
Show steps
Show steps
Show steps
- Find a reputable online tutorial series (e.g. on Coursera, Udemy, or YouTube).
- Follow the tutorials step-by-step.
- Practice the concepts covered in the tutorials.
- Complete the quizzes and assignments provided in the tutorials.
- Ask questions and seek help from the community or the instructor.
Tableau hands-on Lab 1
Show steps
Refreshes your knowledge of Tableau and helps you build a solid foundation for the course.
Browse courses on
Tableau
Show steps
Show steps
Show steps
- Install the latest version of Tableau.
- Connect to the Sample Superstore dataset.
- Create a simple bar chart.
- Add additional visualizations to your dashboard.
- Share your dashboard with others.
Review Basic Data Types
Show steps
Builds a strong foundation for upcoming lessons by refreshing your understanding of data types.
Browse courses on
Data Types
Show steps
Show steps
Show steps
- Revisit documentation and tutorials on data types for the programming language(s) used in this course.
- Do exercises or practice problems to test your understanding of data types.
Six other activities
Expand to see all activities and additional details
Show all nine activities
Tableau Study Group
Show steps
Provides you with opportunities to collaborate and learn from peers, enhancing your understanding of Tableau.
Browse courses on
Tableau
Show steps
Show steps
Show steps
- Find a study partner or group.
- Set regular meeting times.
- Discuss the course material and work through problems together.
- Share tips and resources.
- Provide feedback and support to each other.
Tableau Challenge 1
Show steps
Reinforce your understanding of Tableau and test your skills in data manipulation and visualization.
Browse courses on
Tableau
Show steps
Show steps
Show steps
- Download the provided dataset.
- Clean and prepare the data.
- Create a variety of visualizations (e.g. bar chart, line chart, scatter plot, map).
- Identify trends and patterns in the data.
- Write a short report summarizing your findings.
Tableau Practice Exercises
Show steps
Improves proficiency in using Tableau by completing guided exercises and challenges.
Browse courses on
Tableau
Show steps
Show steps
Show steps
- Find online tutorials or resources that provide Tableau practice exercises.
- Complete the exercises, following the instructions provided.
- Review your results and identify areas for improvement.
Create a Personal Dashboard
Show steps
Applies the concepts learned in this course by creating a fully-functional dashboard.
Browse courses on
Dashboard Design
Show steps
Show steps
Show steps
- Identify a dataset that interests you and gather the data.
- Choose a visualization software or library (e.g., Tableau, Google Data Studio) and learn its basic functionalities.
- Design the layout of your dashboard, including the types of visualizations to use.
- Create the visualizations and connect them to the data.
- Refine the dashboard based on feedback or your own analysis.
Tableau Data Challenge
Show steps
Challenges you to apply your Tableau skills to solve real-world problems and compete with others.
Browse courses on
Tableau
Show steps
Show steps
Show steps
- Find a Tableau data challenge (e.g. on Kaggle, Analytics Vidhya, or the Tableau Community).
- Download the dataset and familiarize yourself with the problem statement.
- Analyze the data and identify key insights.
- Design and create a series of visualizations to communicate your findings.
- Submit your solution to the challenge.
Tableau Case Study
Show steps
Develops your skills in data analysis, visualization, and communication by creating a comprehensive case study using Tableau.
Browse courses on
Tableau
Show steps
Show steps
Show steps
- Choose a dataset of your interest.
- Explore and analyze the data to identify key insights.
- Design and create a series of visualizations to effectively communicate your findings.
- Write a report or presentation to summarize your case study.
- Share your case study with others (e.g. on social media, a blog, or a portfolio).
Career center
Learners who complete Additional Tools Used for Data Visualization will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
Data Analysts mine data and present it in a way that helps companies make better decisions. They may specialize in a particular type of data, such as financial data or customer data. The Tableau software can help Data Analysts visualize data in a way that is easy to understand and interpret. This course can help Data Analysts build a strong foundation in data visualization and prepare them for a successful career in the field.
Business Analyst
Business Analyst
Business Analysts help companies improve their performance by identifying and solving business problems. They use data to analyze business processes and develop recommendations for improvement. The Tableau software can help Business Analysts visualize data in a way that makes it easy to identify trends and patterns. This course can help Business Analysts build a strong foundation in data visualization and prepare them for a successful career in the field.
Market Researcher
Market Researcher
Market Researchers collect and analyze data about customers and markets. They use this data to help companies develop new products and services, and to target their marketing campaigns. The Tableau software can help Market Researchers visualize data in a way that makes it easy to identify trends and patterns. This course can help Market Researchers build a strong foundation in data visualization and prepare them for a successful career in the field.
Data Scientist
Data Scientist
Data Scientists use data to build models that can predict future events. They use a variety of statistical and machine learning techniques to analyze data and develop models. The Tableau software can help Data Scientists visualize data in a way that makes it easy to identify patterns and trends. This course can help Data Scientists build a strong foundation in data visualization and prepare them for a successful career in the field.
Financial Analyst
Financial Analyst
Financial Analysts use data to analyze financial markets and make investment recommendations. They use a variety of financial models to analyze data and develop recommendations. The Tableau software can help Financial Analysts visualize data in a way that makes it easy to identify trends and patterns. This course can help Financial Analysts build a strong foundation in data visualization and prepare them for a successful career in the field.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use data to improve the efficiency of business operations. They use a variety of mathematical and statistical techniques to analyze data and develop recommendations for improvement. The Tableau software can help Operations Research Analysts visualize data in a way that makes it easy to identify inefficiencies and bottlenecks. This course can help Operations Research Analysts build a strong foundation in data visualization and prepare them for a successful career in the field.
Quality Control Analyst
Quality Control Analyst
Quality Control Analysts use data to ensure that products and services meet quality standards. They use a variety of statistical and analytical techniques to analyze data and identify defects. The Tableau software can help Quality Control Analysts visualize data in a way that makes it easy to identify trends and patterns. This course can help Quality Control Analysts build a strong foundation in data visualization and prepare them for a successful career in the field.
Risk Analyst
Risk Analyst
Risk Analysts use data to identify and assess risks. They use a variety of statistical and analytical techniques to analyze data and develop risk management plans. The Tableau software can help Risk Analysts visualize data in a way that makes it easy to identify trends and patterns. This course can help Risk Analysts build a strong foundation in data visualization and prepare them for a successful career in the field.
Statistician
Statistician
Statisticians use data to collect, analyze, and interpret data. They use a variety of statistical techniques to analyze data and draw conclusions. The Tableau software can help Statisticians visualize data in a way that makes it easy to identify trends and patterns. This course can help Statisticians build a strong foundation in data visualization and prepare them for a successful career in the field.
Data Engineer
Data Engineer
Data Engineers design, build, and maintain data systems. They use a variety of programming languages and tools to manage data. The Tableau software can help Data Engineers visualize data in a way that makes it easy to identify data quality issues. This course can help Data Engineers build a strong foundation in data visualization and prepare them for a successful career in the field.
Software Developer
Software Developer
Software Developers design, build, and maintain software applications. They use a variety of programming languages and tools to develop software. The Tableau software can help Software Developers visualize data in a way that makes it easy to identify software bugs. This course can help Software Developers build a strong foundation in data visualization and prepare them for a successful career in the field.
Web Developer
Web Developer
Web Developers design, build, and maintain websites. They use a variety of programming languages and tools to develop websites. The Tableau software can help Web Developers visualize data in a way that makes it easy to identify website traffic patterns. This course can help Web Developers build a strong foundation in data visualization and prepare them for a successful career in the field.
Database Administrator
Database Administrator
Database Administrators design, build, and maintain databases. They use a variety of database management systems to manage data. The Tableau software can help Database Administrators visualize data in a way that makes it easy to identify database performance issues. This course can help Database Administrators build a strong foundation in data visualization and prepare them for a successful career in the field.
Technical Writer
Technical Writer
Technical Writers create documentation for software and hardware products. They use a variety of writing and editing tools to create documentation. The Tableau software can help Technical Writers visualize data in a way that makes it easy to understand. This course can help Technical Writers build a strong foundation in data visualization and prepare them for a successful career in the field.
Educator
Educator
Educators teach students in a variety of settings. They use a variety of teaching methods and materials to teach students. The Tableau software can help Educators visualize data in a way that makes it easy for students to understand. This course can help Educators build a strong foundation in data visualization and prepare them for a successful career in the field.
For more career information including salaries, visit:
OpenCourser.com/course/w1emw3/additional
Reading list
We've selected 11 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Additional Tools Used for Data Visualization.
Classic in the field of information visualization. It provides a comprehensive overview of the theory and practice of data visualization. It must-read for anyone who wants to learn more about the cognitive and perceptual aspects of data visualization.
Is another classic in the field of data visualization. It collection of essays on the principles of data visualization. It must-read for anyone who wants to learn more about the history and theory of data visualization.
Save
This guide is an in-depth reference for the Tableau software, and a valuable companion to this course. It covers all aspects of Tableau, from data preparation to visualization creation. It also includes case studies and exercises to help you learn the software.
Provides a step-by-step guide to using Tableau Public to create data visualizations. It good resource for anyone who wants to learn how to use Tableau Public.
Save
Provides a broad overview of data visualization principles and techniques. It covers topics such as data types, visual encodings, and design principles. It good resource for anyone who wants to learn more about the fundamentals of data visualization.
Provides a practical guide to using data visualization to communicate insights and tell stories. It good resource for anyone who wants to learn how to create effective data visualizations for business purposes.
This extensive book provides a deep dive into the art of dashboard design using Tableau. It covers various types of dashboards, design principles, and best practices. Learners who want to create compelling and user-friendly dashboards will find this book highly valuable.
Collection of dashboard examples from a variety of industries. It good resource for anyone who wants to learn how to create effective dashboards.
Provides a comprehensive guide to creating interactive data visualizations for the web. It covers a variety of topics, such as data wrangling, visualization design, and web development.
Save
Provides a practical guide to using Tableau for data analysis. It covers a variety of topics, such as data preparation, visualization design, and statistical analysis. It good resource for anyone who wants to learn how to use Tableau for data analysis.
Save
Gentle introduction to data visualization for beginners. It covers the basics of data visualization, such as choosing the right charts and graphs, and designing effective presentations.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/w1emw3/additional
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Data Visualization in Tableau
Time
14 hours
Via
Coursera
Institution
Arizona State University
Instructor
Ross Maciejewsk
This course belongs to a
collection
called
Data Visualization. It's comprised of four courses:
- Multivariate and Geographical Data Analysis
- Introduction to Data Exploration and Visualization
- Additional Tools Used for Data Visualization (viewing)
- Temporal and Hierarchical Data Analysis
Good to know
Develops intermediate-level skills in creating advanced visual data representations using Tableau software
Reinforces data visualization principles and best practices
Leverages up-to-date industry software Tableau, which is widely used for data visualization and analytics
Involves hands-on replication of visualizations built in previous courses
Supplemental learning resource for students who want to strengthen their data visualization skills
Suitable for learners with an existing foundation in data visualization concepts
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